code: def run_experiment():
      num_parallel = 3  # NUMBER OF PARALLEL TASKS
  
      # WARNING - THIS SCRIPT CAN BE EVALUATED ONLY WITH THE ACCESS TO DATAMALL SYSTEM
  
      # LOCAL RUN
      folder = fedot_project_root().joinpath("cases", "data", "scoring")
      path = folder.joinpath("scoring_train.csv")
  
      start = datetime.now()
      data = InputData.from_csv(path)
      data.subset_indices([1, 2, 3, 4, 5, 20])
      pipeline = Pipeline(PipelineNode("rf"))
      pipeline.fit_from_scratch(data)
      end = datetime.now()
  
      print("LOCAL EXECUTION TIME", end - start)
  
      # REMOTE RUN
  
      connect_params = {}
      exec_params = {
          "container_input_path": folder,
          "container_output_path": folder.joinpath("remote"),
          "container_config_path": ".",
          "container_image": "test",
          "timeout": 1,
      }
  
      remote_task_params = RemoteTaskParams(
          mode="remote",
          dataset_name="scoring_train",
          task_type="Task(TaskTypesEnum.classification)",
          max_parallel=num_parallel,
      )
  
      client = TestClient(
          connect_params,
          exec_params,
          output_path=os.path.join(folder, "remote"),
      )
  
      evaluator = RemoteEvaluator()
      evaluator.init(
          client=client, remote_task_params=remote_task_params
      )
  
      pipelines = [Pipeline(PipelineNode("rf"))] * num_parallel
      fitted_pipelines = evaluator.compute_graphs(pipelines)
  
      [print(p.is_fitted) for p in fitted_pipelines]
  
file_path: FEDOT/examples/advanced/remote_execution/remote_fit_example.py
imports: import os
  from datetime import datetime
  from fedot.core.data.data import InputData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.utils import fedot_project_root
  from fedot.core.utils import set_random_seed
  from fedot.remote.infrastructure.clients.test_client import TestClient
  from fedot.remote.remote_evaluator import RemoteEvaluator, RemoteTaskParams
label_desc: Use image node_id 1 for calling a global function with example usage: run_experiment() without return types